Francisca Adoma Acheampong

Their work spans multiple domains using diverse techniques and methodologies. In Sentiment Analysis, they employ BERT-based models for emotion detection. In Image Retrieval, wavelet feature extraction is used for efficient image classification. For Smart Agriculture, deep learning methods are applied to disease detection. In IoT and Edge Computing, real-time strategies ensure efficient resource utilization. Their research in E-commerce demonstrates the application of advanced computational techniques in real-world scenarios. Additionally, their contributions to AI in cancer detection highlight innovative approaches combining methodologies across various scientific fields.